Biology and health inequality.

Intriguing parallels between civil servant and nonhuman primate hierarchies suggest that highly stratified societies foster health inequalities. Determining how social differences translate into chronic disease remains a challenge, but neuroendocrine pathways appear to play a role

Social inequalities and cardiovascular disease in South Asians

The epidemiological transition provides a temporal framework for thinking about the decline of infectious disease and the rise in cardiovascular and other chronic diseases.1 In Europe, the transition began in the late 19th century with improved sanitation and housing, and controls on food adulteration. Continuing public health measures such as vaccination2 contributed to the steep rise in life expectancy during the 20th century, paralleled by a sharp increase in the prevalence of cardiovascular disease (CVD). In South Asia, the epidemiological transition is taking place against a background of economic globalisation that has greatly increased the size of the urban poor and middle classes, at the same time leaving many millions to continue living on the land at subsistence level. Development is socially and regionally uneven, and so too are the common causes of morbidity and mortality. There is a double burden of disease in the countries of South Asia, characterised by a combination of pandemic infectious disease and high rates of cardiovascular disease. That India’s burden of coronary disease was approaching a similar magnitude to that of the established market economies was demonstrabed as long ago as 1990.

Neutrino telescope modelling of Lorentz invariance violation in oscillations of atmospheric neutrinos

One possible feature of quantum gravity may be the violation of Lorentz invariance. In this paper, we consider one particular manifestation of the violation of Lorentz invariance, namely modified dispersion relations for massive neutrinos. We show how such modified dispersion relations may affect atmospheric neutrino oscillations. We then consider how neutrino telescopes, such as ANTARES, may be able to place bounds on the magnitude of this type of Lorentz invariance violation

Tensor Product and Permutation Branes on the Torus

We consider B-type D-branes in the Gepner model consisting of two minimal models at k=2. This Gepner model is mirror to a torus theory. We establish the dictionary identifying the B-type D-branes of the Gepner model with A-type Neumann and Dirichlet branes on the torus.Comment: 26 page

Properties of dust in the detached shells around U Ant, DR Ser, and V644 Sco

Understanding the properties of dust produced during the asymptotic giant branch phase of stellar evolution is important for understanding the evolution of stars and galaxies. Recent observations of the carbon AGB star R Scl have shown that observations at far-infrared and submillimetre wavelengths can effectively constrain the grain sizes in the shell, while the total mass depends on the structure of the grains (solid vs. hollow or fluffy). We aim to constrain the properties of the dust observed in the submillimetre in the detached shells around the three carbon AGB stars U Ant, DR Ser, and V644 Sco, and to investigate the constraints on the dust masses and grain sizes provided by far-infrared and submm observations. We observed the carbon AGB stars U Ant, DR Ser, and V644 Sco at 870 micron using LABOCA on APEX. Combined with observations from the optical to far-infrared, we produced dust radiative transfer models of the spectral energy distributions (SEDs) with contributions from the stars, present-day mass-loss and detached shells. We tested the effect of different total dust masses and grain sizes on the SED, and attempted to consistently reproduce the SEDs from the optical to the submm. We derive dust masses in the shells of a few 10e-5 Msun, assuming spherical, solid grains. The best-fit grain radii are comparatively large, and indicate the presence of grains between 0.1 micron-2 micron. The LABOCA observations suffer from contamination from 12CO(3-2), and hence gives fluxes that are higher than the predicted dust emission at submm wavelengths. We investigate the effect on the best-fitting models by assuming different degrees of contamination and show that far-infrared and submillimetre observations are important to constrain the dust mass and grain sizes in the shells.Comment: Accepted by A&

Literaturübersetzung und Interpretation - Die Suche nach dem Subtext hinter dem Text

Translation is an intercultural and literary process. The intertextuality of each literary translation depends on the difference of the cultural context. It is important to respect a double difference, on the one hand the poetic and on the other hand the cultural variance. This is the result of many theories on current translations. George Steiner and Peter Utz are of the opinion that we can compare translations with interpretations of fiction because both are not completed and time-dependent. The process of interpretation of fiction as well as the translation are both parts of a hermeneutic process. The only difference is that the translation represents the meaning of the original of the fiction whereas the interpretation creates and documents a reading process

Comparison between mirror Langmuir probe and gas puff imaging measurements of intermittent fluctuations in the Alcator C-Mod scrape-off layer

Statistical properties of the scrape-off layer (SOL) plasma fluctuations are studied in ohmically heated plasmas in the Alcator C-Mod tokamak. For the first time, plasma fluctuations as well as parameters that describe the fluctuations are compared across measurements from a mirror Langmuir probe (MLP) and from gas-puff imaging (GPI) that sample the same plasma discharge. This comparison is complemented by an analysis of line emission time-series data, synthesized from the MLP electron density and temperature measurements. The fluctuations observed by the MLP and GPI typically display relative fluctuation amplitudes of order unity together with positively skewed and flattened probability density functions. Such data time series are well described by an established stochastic framework which model the data as a superposition of uncorrelated, two-sided exponential pulses. The most important parameter of the process is the intermittency parameter, {\gamma} = {\tau}d / {\tau}w where {\tau}d denotes the duration time of a single pulse and {\tau}w gives the average waiting time between consecutive pulses. Here we show, using a new deconvolution method, that these parameters can be consistently estimated from different statistics of the data. We also show that the statistical properties of the data sampled by the MLP and GPI diagnostic are very similar. Finally, a comparison of the GPI signal to the synthetic line-emission time series suggests that the measured emission intensity can not be explained solely by a simplified model which neglects neutral particle dynamics